2025
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
ICLR 2025poster
Self-supervision is often used for pre-training to foster performance on a downstream task by constructing meaningful representations of samples. Self-supervised learning (SSL) generally involves generating different views of the same sample and thus requires data augmentations that are challenging…